Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer-Reference-Cited by-同舟云学术

Deep Learning Radiomics Nomogram Based on Enhanced CT to Predict the Response of Metastatic Lymph Nodes to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer

Published:2023-11-05 Issue:1 Volume:31 Page:421-432
ISSN:1068-9265
Container-title:Annals of Surgical Oncology
language:en
Short-container-title:Ann Surg Oncol

Author:

Zhong Hao,Wang Tongyu,Hou Mingyu,Liu Xiaodong,Tian Yulong,Cao Shougen,Li Zequn,Han Zhenlong,Liu Gan,Sun Yuqi,Meng Cheng,Li Yujun,Jiang Yanxia,Ji Qinglian,Hao Dapeng,Liu Zimin,Zhou Yanbing^ORCID

Funder

Natural Science Foundation of Shandong Province

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

https://link.springer.com/content/pdf/10.1245/s10434-023-14424-0.pdf

Reference45 articles.

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5. Zhang X, Liang H, Li Z, et al. Perioperative or postoperative adjuvant oxaliplatin with S-1 versus adjuvant oxaliplatin with capecitabine in patients with locally advanced gastric or gastro-oesophageal junction adenocarcinoma undergoing D2 gastrectomy (RESOLVE): An open-label, superiority and non-inferiority, phase 3 randomised controlled trial. Lancet Oncol. 2021;22(8):1081–92.

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4. ASO Author Reflections: Deep-Learning Radiomics Nomogram Based on Enhanced CT to Predict the Effect of Neoadjuvant Chemotherapy on Metastatic Lymph Nodes in Locally Advanced Gastric Cancer;Annals of Surgical Oncology;2023-11-06